Model comparison
Llama 2-13B vs Mixtral 8x7B
Llama 2-13B is the stronger model overall, scoring 29.6 to 27.1 on the Noometry Index.
Last verified . 27 shared benchmarks.
Meta
Mistral AISummary
- They share 27 benchmarks with published results for both. Llama 2-13B scores higher in 3 categories and Mixtral 8x7B in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 2-13B leads 28.1 to 11.0.
- The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 49.6% for Mixtral 8x7B.
Side by side
| Llama 2-13B | Mixtral 8x7B | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.6 | 27.1 |
| Released | 2023-07-18 | 2023-12-11 |
| Weights | Open | Open |
| Context window | — | 32K |
| Max output | — | 32K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 32 | 38 |
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Category by category
Coding Mixtral 8x7B leads
Llama 2-13B: 30.9 (#291), Mixtral 8x7B: 32.8 (#269)
| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1062 | 1126 |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |
Reasoning Mixtral 8x7B leads
Llama 2-13B: 12.8 (#337), Mixtral 8x7B: 18.2 (#285)
| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1115 |
| DTBench | 42.2% | 49.6% |
| Epoch Capabilities Index | 106.17 | 118.47 |
| HellaSwag | 80.7% | 86.7% |
| PIQA | 80.8% | 83.6% |
| WinoGrande | 72.8% | 77.2% |
| Chess Puzzles | 0% | — |
| Adversarial NLI | — | 55.2% |
| BIG-Bench Hard | 58.2% | — |
| ForecastBench | — | 56.3 |
| LAMBADA | 76.5% | — |
Math Llama 2-13B leads
Llama 2-13B: 31.1 (#229), Mixtral 8x7B: 18.8 (#289)
| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| LMArena Math | 1065 | 1147 |
| GSM8K | 36.9% | 74.4% |
| Omni-MATH | — | 10.5% |
| MATH Level 5 | — | 10% |
Knowledge Llama 2-13B leads
Llama 2-13B: 28.1 (#249), Mixtral 8x7B: 11.0 (#301)
| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| LMArena Expert | 1030 | 1088 |
| ARC (AI2) Challenge | 60.3% | 87.3% |
| MMLU | 55.6% | 70.6% |
| OpenBookQA | 57% | 85.8% |
| TriviaQA | 79.6% | 82.2% |
| GPQA Diamond | — | 30.6% |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| BoolQ | 82.4% | — |
Multimodal Not comparable
Llama 2-13B: —, Mixtral 8x7B: —
| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Mixtral 8x7B leads
Llama 2-13B: 26.5 (#279), Mixtral 8x7B: 29.6 (#266)
| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1024 | 1077 |
| LMArena Chinese | 1001 | 1055 |
| LMArena French | 1044 | 1166 |
| LMArena German | 1009 | 1114 |
| LMArena Japanese | 894 | 931 |
| LMArena Korean | 953 | 968 |
| LMArena Russian | 1055 | 1090 |
| LMArena Spanish | 1087 | 1111 |
Instruction Following Llama 2-13B leads
Llama 2-13B: 53.3 (#287), Mixtral 8x7B: 51.0 (#297)
| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| LMArena Instruction Following | 1045 | 1109 |
| IFEval | — | 57.5% |
Long Context Mixtral 8x7B leads
Llama 2-13B: 32.3 (#269), Mixtral 8x7B: 33.4 (#260)
| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1064 | 1103 |
Writing & Preference Mixtral 8x7B leads
Llama 2-13B: 29.8 (#289), Mixtral 8x7B: 34.2 (#270)
| Benchmark | Llama 2-13B | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1084 | 1132 |
| LMArena Creative Writing | 1047 | 1109 |
| LMArena Multi-Turn | 1050 | 1115 |
| WildBench | — | 67.3% |
Frequently asked questions
Is Llama 2-13B better than Mixtral 8x7B?
Llama 2-13B is the stronger model overall, scoring 29.6 to 27.1 on the Noometry Index.
Is Llama 2-13B or Mixtral 8x7B better for coding?
Mixtral 8x7B scores higher on coding benchmarks: 32.8 versus 30.9 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Mixtral 8x7B share?
27 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Mixtral 8x7B has 38.